Who we are
Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI.
Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.
Role Overview
We are hiring a hands-on Staff Software Engineer to provide technical leadership for our Forecasting and Recommendations platforms, with a strong focus on production-grade AI and agentic systems.
This role centers on designing, building, and operating high-throughput, low-latency distributed systems that power forecasting, recommendations, and AI-driven decisioning at scale. You will work deeply in backend systems, infrastructure, and AI application architecture, while remaining accountable for reliability, observability, and operational excellence.
We are looking for an engineer who can contribute immediately, has shouldered real production incidents, and brings strong judgment around building stable, observable, and scalable systems, including modern agentic and LLM-powered applications.
Why Join This Team
- Build and operate mission-critical systems that power forecasting and recommendations at scale.
- Work in an environment that values execution, pragmatism, and modern engineering workflows.
- Operate at true Staff scope with real architectural ownership and hands-on impact.
- Solve hard systems problems with meaningful business outcomes.